Cdna_manager – Digital Analytics
1074 amgen pvt
📍 india - hyderabad india🕐 2d ago🔗 workday
Job Description
**Career Category**
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Engineering
**Job Description**
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**HOW MIGHT YOU DEFY IMAGINATION?**
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do.
**Live | What you will do**
* Lead campaign data delivery for assigned brands or channels, ensuring timely ingestion, validation, and handoff to reporting/analytics teams.
* Own daily ops and work directly with US-based stakeholders and senior managers (SMs) to align on priorities and timelines.
* Coordinate L4 analyst execution, oversee data hygiene and process stability, and identify automation opportunities.
* Ensure taxonomy compliance, vendor data QC, and reporting data readiness.
* Serve as SME for media data architecture, pipeline design, and ingestion logic.
* Collaborate with technology and engineering teams to enhance cloud workflows (AWS, Databricks) and SFDC-based integrations.
**Thrive | What you can expect**
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
**Basic Qualifications**
* Master’s degree (or Bachelor’s with 5–7 years) in Computer Science, Information Systems, Data Engineering, or related field.
* Proven experience managing data pipelines, reporting workflows, and media data quality for enterprise marketing programs.
* Strong SQL and Python skills, with working knowledge of Tableau and cloud data services (AWS, Databricks).
* Experience handling multi-source vendor data, campaign performance data, and large datasets tied to paid media execution.
* Demonstrated ownership of operational delivery across cross-functional teams.
**Preferred Qualifications**
* Hands-on experience with platforms like DV360, Meta Ads, SFMC, and Salesforce plugins for campaign orchestration.
* Familiarity with HCP and consumer media data workflows in the pharma or healthcare context.
* Ability to translate data architecture needs into long-term, scalable designs in collaboration with engineering.
* Strong interpersonal and planning skills; comfort leading operational discussions with global stakeholders.
* Background in developing or enforcing taxonomy, tagging, and governance standards for campaign metadata.
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